gesture recognition system
A dynamic gesture recognition system for the Korean sign language (KSL)
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Abstracb-The sign language is a method of communication for the deaf-mute. Articulated gestures and postures of hands and fingers are commonly used for the sign language. This paper presents a system which recognizes the Korean Sign Language (KSL) and translates
Real time hand gesture recognition system for dynamic applications
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Virtual environments have always been considered as a means for more visceral and efficient human computer interaction by a diversified range of applications. The spectrum of applications includes analysis of complex scientific data, medical training, military
A Real Time Gesture Recognition System for Mobile Robots.
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This paper presents a vision system to be embedded in a mobile robot, both of them implemented using reconfigurable computing technology. The vision system captures gestures by means of a digital color camera, and then performs some pre-processing steps
Real time multiple hand gesture recognition system for human computer interaction
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With the increasing use of computing devices in day to day life, the need of user friendly interfaces has lead towards the evolution of different types of interfaces for human computer interaction. Real time vision based hand gesture recognition affords users the ability to
Comparative study of hand gesture recognition system
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Human imitation for his surrounding environment makes him interfere in every details of this great environment, hear impaired people are gesturing with each other for delivering a specific message, this method of communication also attracts human imitation attention to
Gesture recognition system for human-robot interaction and its application to robotic service task
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This paper presents a gesture recognition system for Human-Robot Interaction. And it has been employed to the development of a service robot that can be operated by the human gesture given as the users command. Human motion is detected by the Kinect sensor on the
Microcontroller based gesture recognition system for the handicap people
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ABSTRACT Speech and gestures are the expressions, which are mostly used in communication between human beings. Learning of their use begins with the first years of life. In human communication, the use of speech and gestures is completely coordinated
A neural network based real time hand gesture recognition system
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Hand Gesture is habitually used in every day life style. It is so natural way to communicate. Hand gesture recognition method is widely used in the application area of Controlling mouse and/or keyboard functionality, mechanical system , 3D World, Manipulate virtual
A novel FPGA-based hand gesture recognition system
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There are many applications using hand gesture as a nature control interface, such as humanmachine interaction and interactive entertainment. With the advancement of computer vision and machine learning, the development of vision-based hand gesture recognition
A 3d gesture recognition system for multimodal dialog systems
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We present a framework for integrating dynamic gestures as a new input modality into arbitrary applications. The framework allows training new gestures and recognizing them as user input with the help of machine learning algorithms. The precision of the gesture
Continuous gesture trajectory recognition system based on computer vision
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In this paper, we propose an automatic system for recognizing continuous gestures in real- time, including Arabic numbers (0-9) and alphabets (AZ). We present an improved method for hand area detection and segmentation based on YCbCr and HSI mixed skin color space
Real time static hand gesture recognition system in complex background that uses number system of Indian sign language
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Hand gestures are powerful means of communication among humans and sign language is the most natural and expressive way of communication for deaf and mute people. Communication between computers (or robot) and humans, just as we humans interact with
Hand gesture recognition : Sign to voice system s2v
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Hand gesture is one of the typical methods used in sign language for non-verbal communication. It is most commonly used by people who have hearing or speech problems to communicate among themselves or with normal people. Various sign language systems
Gesture recognition system
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Gestures are a major form of human communication. Hence gestures are found to be an appealing way to interact with computers, as they are already a natural part of how we communicate. A primary goal of gesture recognition is to create a system which can identify
Performance Evaluation of Modified Segmentation on Multi Block For Gesture Recognition System
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Gestures are the new silent language for controlling the human-made machines such as robotics, many recent researches toward enhancing this relation and obtaining good recognition rate were commenced, in this paper; we are trying to evaluate the performance
Neural network based static sign gesture recognition system
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Sign language is natural media of communication for the hearing and speech impaired all over the world This paper presents vision based static sign gesture recognition system using neural network. This system enables deaf people to interact easily and efficiently with
Hand gesture recognition and voice conversion system for dumb people
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in our country around 2.78% of peoples are not able to speak (dumb). Their communications with others are only using the motion of their hands and expressions. We proposed a new technique called artificial speaking mouth for dumb people. It will be very helpful to them for
Hand gesture recognition for real time human machine interaction system
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Real Time Human-machine Interaction system using hand gesture Recognition to handle the mouse event, media player, image viewer. Users have to repeat same mouse and keyboard actions, inducing waste of time. Gestures have long been considered as an
Honeyfish-a high resolution gesture recognition system based on capacitive proximity sensing
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The recognition of gestures in free space using sensors that determine the proximity of a body mass based on electric field variance is a challenging research topic. Arrays of such capacitive proximity sensors allow the creation of novel user interaction systems based on
A system for musical improvisation combining sonic gesture recognition and genetic algorithms
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This paper describes a novel system that combines machine listening with evolutionary algorithms. The focus is on free improvisation, wherein the interaction between player, sound recognition and the evolutionary process provides an overall framework that guides